DOI: 10.18129/B9.bioc.CellScore    

This is the development version of CellScore; for the stable release version, see CellScore.

Tool for Evaluation of Cell Identity from Transcription Profiles

Bioconductor version: Development (3.8)

The CellScore package contains functions to evaluate the cell identity of a test sample, given a cell transition defined with a starting (donor) cell type and a desired target cell type. The evaluation is based upon a scoring system, which uses a set of standard samples of known cell types, as the reference set. The functions have been carried out on a large set of microarray data from one platform (Affymetrix Human Genome U133 Plus 2.0). In principle, the method could be applied to any expression dataset, provided that there are a sufficient number of standard samples and that the data are normalized.

Author: Nancy Mah, Katerina Taskova

Maintainer: Nancy Mah <nancy.l.mah at googlemail.com>

Citation (from within R, enter citation("CellScore")):


To install this package, start R and enter:

if (!require("BiocManager"))
BiocManager::install("CellScore", version = "devel")


To view documentation for the version of this package installed in your system, start R and enter:



PDF R Script R packages: CellScore
PDF   Reference Manual


biocViews DataImport, GeneExpression, Microarray, MultipleComparison, ReportWriting, Software, Transcription, Visualization
Version 1.1.0
License GPL-3
Depends R (>= 3.5.0)
Imports Biobase(>= 2.39.1), graphics (>= 3.5.0), grDevices (>= 3.5.0), gplots (>= 3.0.1), lsa (>= 0.73.1), methods (>= 3.5.0), RColorBrewer (>= 1.1-2), squash (>= 1.0.8), stats (>= 3.5.0), utils (>= 3.5.0)
Suggests hgu133plus2CellScore, knitr
Depends On Me
Imports Me
Suggests Me
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Source Package CellScore_1.1.0.tar.gz
Windows Binary CellScore_1.1.0.zip
Mac OS X 10.11 (El Capitan) CellScore_1.1.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/CellScore
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/CellScore
Package Short Url http://bioconductor.org/packages/CellScore/
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